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Associate Dimensional Engineer Jobs (NOW HIRING)

Merican

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Associate Data Engineer Location: Parsippany, NJ Duration: 6 Months Job Type: Temporary Assignment ... Support enterprise data warehouse design, including dimensional modeling, star schemas, fact tables ...

L3HHCM20

Senior Associate, Mechanical Engineer

Cincinnati, OH · Hybrid

$100K - $132K/yr

Senior Associate, Mechanical Engineering Job Code: 38898 Job Location: Cincinnati, OH Job Schedule ... Designs will be accomplished using world-class, three-dimensional solid modeling CAD tools and work ...

Oscar Health

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

This is a hands-on role focused on growing your craft in dimensional modeling, SQL, and analytics engineering within a healthcare environment. You will report into the Associate Director, Data ...

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As of Jun 12, 2026, the average yearly pay for associate dimensional engineer in the United States is $93,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $110,000.00 per year, depending on experience, location, and employer.
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Associate Data Engineer

Associate Data Engineer

Merican

Parsippany, NJ • On-site

$115K - $138K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Associate Data Engineer
Location: Parsippany, NJ
Duration: 6 Months
Job Type: Temporary Assignment
Work Type:Hybrid
Job Description
  • We are seeking a hands-on Associate Data Engineer with strong programming skills in Python and SQL and practical experience building scalable data ingestion, transformation, and quality pipelines using Azure ecosystem.
  • This role will focus on building scalable ingestion pipelines into the Bronze layer, developing Silver and Gold layer patterns, with strong focus on data quality, and enabling governed semantic models through Microsoft Fabric for analytics and reporting.

Key Responsibilities:
  • Implement medallion lakehouse architecture patterns across Bronze, Silver, and Gold layers.
  • Build and maintain ingestion pipelines that bring structured, semi-structured data, files, API sources into the Bronze layer of the lakehouse.
  • Develop Silver layer patterns focused on data cleaning, standardization, deduplication, validation, and business-rule application.
  • Develop Gold layer datasets that are curated, analytics-ready, and suitable for enterprise reporting and semantic model consumption.
  • Build reliable data pipelines using Azure Databricks, SQL, and Python.
  • Design and support orchestration workflows using Azure Data Factory Implement data quality checks, reconciliation logic, exception handling, and monitoring across pipelines.
  • Support enterprise data warehouse design, including dimensional modeling, star schemas, fact tables, and dimension tables.
  • Prepare curated datasets that support semantic models, governed reporting, dashboards, and business intelligence use cases.
  • Enable semantic layers and semantic models through Microsoft Fabric, including Fabric Lakehouse, Fabric Warehouse, OneLake, and Power BI semantic model integration.
  • Optimize data pipelines, transformations, models, and processing jobs for performance, scalability, and maintainability.
  • Collaborate with data analysts, BI developers, business stakeholders, and platform teams to translate requirements into trusted, reusable data products.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Required Skills and Experience:
  • Associate Data Engineer 1-2 years of industry experience in data engineering, data analysis, analytics engineering, or related data roles.
  • Strong knowledge of SQL and Python for data transformation, validation, and analysis.
  • Working experience in data platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric with focus on data ingestion, data cleaning, data validation, and data quality.
  • Industry experience in lakehouse architecture, including Bronze, Silver, and Gold data layers.
  • Strong understanding of data warehousing concepts, dimensional modeling, star schema, fact tables, and dimension tables.
  • Ability to learn and apply reusable engineering patterns under guidance.
  • Ability to work with business and technical teams to understand data requirements and deliver reliable data outputs.
  • Technical Skills: Python, SQL, PySpark, Pandas, Azure Databricks, Azure Data Factory, Snowflake, Star Schema, Dimensional Modeling and Microsoft Fabric.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.
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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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